Paper Citation Record · LEDGER

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.03463.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.03463 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:19:02.750073Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy14
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 077e7f34-b5a3-4378-a245-c57a17de17c9 · outbound

This paper cites ICLR2018 (2018).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR2018 (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.140771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08a7108f-4ff5-4be0-92a8-299c76cf8611 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.133084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8377642c-2312-45f8-aa4e-c012b85ea02b · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.124914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ec7b532-4c54-4be3-a929-4b7da762f849 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.634018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24040b28-b112-4a77-ae53-0e4302918ba2 · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.637986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c37bef-d9c9-48c8-81e0-f5725427d639 · outbound

This paper cites Improved Bayesian Compression.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Improved Bayesian Compression

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:19:02.880880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b5909d90-f1d2-4c22-8e64-5a3d8093cbf0 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.645927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bcc06f1-79b4-4cc3-9b5f-56a9a1658a3f · outbound

This paper cites Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.649334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ccbf0e1-3d3f-4735-8125-6fe8409e80d6 · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Compressing Deep Convolutional Networks using Vector Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.652822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a3416f-a0cd-493f-a5ee-6910e58e1b34 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.114375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6fc6722-b42a-4792-a84c-93306fddaaee · outbound

This paper cites IEEE Trans.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization IEEE Trans

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.105659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58f4a82f-f4fd-4dc2-a8cb-198743d3070f · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.096488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af134b5b-7da2-4674-8628-eb6bf10482c9 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.087320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff132f98-3e70-4d40-95b4-f1470c34634d · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.077920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2dd00953-6089-4a93-b0a7-30f5294c4767 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.067641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efff04bf-4000-4a32-88ec-e7d9d8ffe91d · outbound

This paper cites In: International Conference on Computer Vision (ICCV).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: International Conference on Computer Vision (ICCV)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.058239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9321344-ec00-4e36-9453-2be3b4430e5c · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.676589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca52b027-ae9e-4c75-b94f-872b6d6c09b0 · outbound

This paper cites Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.679870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6959dcc-d5af-4dcf-8e24-8934be2c01c5 · outbound

This paper cites Data-Driven Sparse Structure Selection for Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Data-Driven Sparse Structure Selection for Deep Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.682843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce2e369-e294-4c99-b4c9-664d14d33d19 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.049849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c06709b-6f6e-4a9d-bb74-2b59df2954ac · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.688004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeacd4cd-8fc2-4ef8-86bc-54053402a90c · outbound

This paper cites Automatic Relevance Determination For Deep Generative Models.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Automatic Relevance Determination For Deep Generative Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.691249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229d0bd6-5d90-476a-bac4-58ec813a5838 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:03.040437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4722561-7f0a-481b-97c3-1604bba710fd · outbound

This paper cites In: Computer Vision (ICCV), 2017 IEEE International Conference on.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: Computer Vision (ICCV), 2017 IEEE International Conference on

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.030962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 68d18dee-4456-4613-8b77-9ce730bf8d61 · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Advances in Neural Information Processing Systems (2017)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.021285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0dc2456e-82db-4699-9eac-0c0c0aac1aeb · outbound

This paper cites ICLR 2018 (2018).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR 2018 (2018)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.011214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84c3b592-15ff-4915-b2ae-914018f31cb7 · outbound

This paper cites ICCV2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICCV2017 (2017)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:03.001887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d3bb663-d516-474b-ad78-6c9fa21a24d4 · outbound

This paper cites Network: Computation in Neural Systems 6(3), 469–505 (1995).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Network: Computation in Neural Systems 6(3), 469–505 (1995)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.992007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 418d5106-4dea-4ac7-86dc-88a980cace3d · outbound

This paper cites ICML 2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICML 2017 (2017)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.980884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7932f816-0059-4ae0-b6e9-501d80f92d21 · outbound

This paper cites ICLR2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR2017 (2017)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.969813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40a171cf-6d92-4cd2-9178-b6f4eb695238 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:02.958741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb119a49-421c-492d-ae8d-36cfec0858ab · outbound

This paper cites Structured Bayesian Pruning via Log-Normal Multiplicative Noise.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.720383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1598d5-f198-4201-9a82-dcdf1d521b73 · outbound

This paper cites In: European Conference on Computer Vision.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: European Conference on Computer Vision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.949508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c0501d2-577e-471b-b7bb-0afb38eb2404 · outbound

This paper cites Efficient Processing of Deep Neural Networks: A Tutorial and Survey.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.728086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a727a053-57e4-49b8-98de-6eed7c97f7cc · outbound

This paper cites ICLR 2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR 2017 (2017)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.940066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42877c1f-cf63-440b-9bfc-bac9a68db775 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: Advances in Neural Information Processing Systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.929840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f13dba22-d24f-4adf-9cc1-bc5ba089e618 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:19:02.919497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a0ce02a-27cd-472c-ba16-c7bd071cb72f · outbound

This paper cites Training and Inference with Integers in Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Training and Inference with Integers in Deep Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.739548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fea0617-8d8b-4e61-9993-bc73b5267bd7 · outbound

This paper cites Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:19:02.788979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44543eb3-b56e-4ae8-96dc-29027feebeec · outbound

This paper cites Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.747133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba3b843-b52d-4245-8b4d-84e645bbec6d · outbound

This paper cites In: European Conference on Computer Vision.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: European Conference on Computer Vision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:19:02.907732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.